Method for tracing abnormal inflow water quality of sewage plant

Abstract

The invention provides a method for tracing inflow water quality abnormity of a sewage plant. The method comprises the following steps: acquiring an inflow water sample of the sewage plant; analyzing the inflow water sample, and determining the inflow water sample as an abnormal water sample; determining a primary target discharge unit based on the analysis result of the abnormal water sample, and analyzing the discharged water sample of the primary target discharge unit; and comparing the analysis result of the discharged water sample with the analysis result of the abnormal water sample, and determining a final target discharge unit. According to the method for tracing the inflow water quality abnormity of the sewage plant, monitoring and tracing of the water quality abnormity can be comprehensively, accurately and efficiently carried out, and reasons and specific related substances of the water quality abnormity and target discharge units causing the water quality abnormity can be rapidly determined.

Description

Technical Field

[0001] The present invention relates to the field of sewage source tracing, and in particular to a method for tracing the source of abnormal influent water quality in a sewage treatment plant. Background Art

[0002] At present, industrial wastewater is discharged to sewage treatment plants for centralized treatment after pretreatment to meet discharge standards, and finally discharged into nearby water bodies after the wastewater is treated to meet standards. However, industrial wastewater sometimes has abnormal water quality, which causes the sewage treatment plant's treatment system to collapse and the effluent quality to fail to meet standards. Therefore, sewage treatment plants need to monitor and trace the source of characteristic pollutants in daily influent to prevent the effluent quality from failing to meet standards and affecting surrounding water bodies.

[0003] Initially, the way to trace the source of pollutants in sewage plants was to conduct manual sampling after discovering abnormal operation of the sewage plant, which was time-consuming and labor-intensive, and had a great lag. At present, the main methods commonly used for tracing the source of water pollutants include the grid method based on water chemical indicators, isotope tracing method, three-dimensional fluorescence method, ultraviolet visible absorption spectroscopy and mass spectrometry non-targeted screening method. Among them, the grid method mainly relies on mature water chemical indicators to lock the source of pollution by dividing the area, but the efficiency of this method is relatively low. It is only effective in the application of small-scale monitoring range, but it cannot achieve complete coverage in large watersheds. Although the isotope tracer method has been maturely applied to nitrogen pollution, the application scope of the method still needs to be expanded. The three-dimensional fluorescence method and the ultraviolet fluorescence method have a common problem, namely the establishment of a spectrum database. The establishment of a local database has a great impact on the accuracy of the method.

[0004] Therefore, there is an urgent need to provide a method for tracing the source of water quality anomalies that can be comprehensively and accurately applied to a variety of different water quality monitoring situations, and to improve the ability to trace the source of water quality deterioration, warn of the source, and prepare for emergencies. Summary of the invention

[0005] In view of this, the present invention provides a method for tracing the abnormal water quality of sewage treatment plant inlet, which can comprehensively, accurately and efficiently monitor and trace the abnormal water quality.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] A method for tracing the source of abnormal water quality in a sewage treatment plant according to an embodiment of the present invention includes:

[0008] Obtain influent water samples from sewage treatment plants;

[0009] Analyzing the influent water sample and determining it to be an abnormal water sample;

[0010] Determine a preliminary target emission unit based on the analysis result of the abnormal water sample, and analyze the discharged water sample of the preliminary target emission unit;

[0011] The analysis results of the discharged water sample and the analysis results of the abnormal water sample are compared to determine the final target discharge unit.

[0012] Furthermore, obtaining the influent water sample of the sewage treatment plant includes:

[0013] Select characteristic risk factors;

[0014] The influent water sample of the sewage treatment plant is tested based on the easily measurable indicators corresponding to the characteristic risk factors. If abnormal data of the easily measurable indicators are detected, the influent water sample of the sewage treatment plant is obtained, and the type of the obtained influent water sample is determined.

[0015] Furthermore, the characteristic risk factors include one or more of oxidizing substances, difficult-to-degrade organic matter, and toxic substances.

[0016] Furthermore, the easily measurable indicators include one or more of pH value, ORP value, conductivity, ultraviolet-visible absorption spectrum wavelength or absorbance.

[0017] Furthermore, the types of the acquired influent water samples include inorganic influent water samples and organic influent water samples.

[0018] Further, the analyzing the influent water sample and determining it as an abnormal water sample includes:

[0019] Conducting biological toxicity analysis and characteristic risk factor substance concentration analysis on the influent water sample with abnormal easily measurable indicator data, and determining the water sample as abnormal and the substance causing the abnormal water quality based on the results of the biological toxicity analysis and the characteristic risk factor substance concentration analysis;

[0020] Perform water quality fingerprint detection and analysis on the abnormal water sample, and characterize the fingerprint characteristics of the abnormal water sample based on the results of the water quality fingerprint detection and analysis.

[0021] Furthermore, the biological toxicity analysis uses luminescent bacteria fluorescence intensity detection method, fish 96 acute toxicity test method, nitrification inhibition test method, enzyme inhibition test method, respiratory inhibition test method, ATP luminescence analysis method or biosensor method.

[0022] Furthermore, the water quality fingerprint analysis uses three-dimensional fluorescence spectroscopy, ultraviolet-visible spectroscopy or multi-source spectroscopy.

[0023] Further, the determining of a preliminary target emission unit based on the analysis result of the abnormal water sample and analyzing the discharged water sample of the preliminary target emission unit includes:

[0024] Determine the primary target emission units based on the substances causing water quality abnormalities determined by the results of the biological toxicity analysis and the characteristic risk factor substance concentration analysis;

[0025] Conduct water quality fingerprint detection and analysis on the discharged water samples of the preliminary target emission units.

[0026] Further, comparing the analysis result of the discharged water sample with the analysis result of the abnormal water sample to determine the final target discharge unit includes:

[0027] Comparing the water quality fingerprint detection and analysis result of the discharged water sample with the water quality fingerprint detection and analysis result of the abnormal water sample;

[0028] Based on the similarity of the water quality fingerprint detection and analysis results of the two, the final target emission unit is determined.

[0029] The above technical solution of the present invention has at least one of the following beneficial effects:

[0030] According to the method for tracing the abnormal influent water quality of a sewage treatment plant according to an embodiment of the present invention, abnormal water samples are sampled for detection and analysis in the target influent abnormality area, and the scope of the target emission unit is preliminarily determined based on the analysis results of the abnormal water samples; then, the discharge water samples of the preliminarily determined target emission units are separately detected and analyzed to obtain the analysis results of the discharge water samples of each target emission unit; finally, the analysis results of the discharge water samples of each preliminarily determined target emission unit are compared with the analysis results of the collected abnormal water samples, and then the final target emission unit is determined, which can comprehensively, accurately and efficiently monitor and trace the water quality abnormality.

[0031] Furthermore, according to the method for tracing the abnormal water quality of sewage treatment plant inlet water according to an embodiment of the present invention, by selecting characteristic risk factors for substance concentration analysis and combining the toxicity analysis results, abnormal water samples for the next step of water quality fingerprint analysis are pre-screened comprehensively, thereby further reducing the number of water samples for tracing analysis.

[0032] According to the method for tracing the abnormal influent water quality of a sewage treatment plant according to the embodiment of the present invention, by online monitoring and retaining influent water samples of the sewage treatment plant, biological toxicity and characteristic risk factor substance concentration analysis are carried out on the acquired influent water samples of the sewage treatment plant, so as to quickly determine the abnormal water samples, preliminarily select the target emission units through the analysis results of the abnormal water samples, carry out water quality fingerprint detection on the abnormal water samples and the water samples discharged from the preliminarily selected target emission units and compare the similarities, and according to the similarity comparison results, the final target emission unit causing the abnormal influent water of the sewage treatment plant can be quickly determined. Compared with the existing tracing analysis methods, the method only requires a small amount of monitoring equipment, a smaller number of test samples, a lower comprehensive tracing cost, wide applicability and high monitoring efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a flow chart of a method for tracing the abnormality of influent water quality in a sewage treatment plant according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0035] Unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the usual meanings understood by persons with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "connected" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship also changes accordingly.

[0036] The following first describes in detail the method for tracing the abnormality of influent water quality in a sewage treatment plant according to an embodiment of the present invention with reference to the accompanying drawings.

[0037] Figure 1 A flow chart of a method for tracing the source of abnormal influent water quality in a sewage treatment plant according to an embodiment of the present invention is shown.

[0038] like Figure 1 As shown, the method for tracing the abnormal water quality of sewage treatment plant inlet according to an embodiment of the present invention may include:

[0039] S1, obtain the influent water sample of the sewage treatment plant.

[0040] As an example, online monitoring equipment for physical and chemical indicators of water quality or automatic sampling devices can be installed in the pipe network of the suspected area of ​​water inflow to the sewage treatment plant to obtain water samples of the sewage treatment plant's inflow, so as to extract and test the water samples of the abnormal target area in a targeted manner. Among them, the online monitoring equipment for physical and chemical indicators of water quality and the automatic sampling device can be, for example, a water quality automatic sampler. The water quality automatic sampler is a special environmental monitoring instrument used for total quantity control, pollution source investigation and water quality monitoring. The user can input the sampling time interval, sampling volume and sampling method according to the needs. In addition, the water quality automatic sampler can also be connected to other online monitoring equipment to conduct accident alarm sampling, synchronous sampling of exceeding the standard, and remote control sampling.

[0041] S2, analyze the incoming water sample and determine it to be an abnormal water sample.

[0042] Specifically, biological toxicity analysis and characteristic risk factor substance concentration analysis are performed on the obtained influent water sample, and the obtained influent water sample is determined to be an abnormal water sample. Based on the results of the biological toxicity analysis and the characteristic risk factor substance concentration analysis, it is determined to be an abnormal water sample.

[0043] S3, determining a preliminary target emission unit based on the analysis result of the abnormal water sample, and analyzing the discharged water sample of the preliminary target emission unit.

[0044] That is to say, based on the analysis results of the water samples that are detected and determined to be abnormal, the target emission units within the relevant range are preliminarily determined through the corresponding abnormal index data in the analysis results, and then the discharge water samples of the preliminarily selected target emission units within the determined relevant range are respectively tested and analyzed. In this way, the scope of the target emission units with abnormal water quality discharge can be accurately determined, which effectively reduces the sample size of the target discharge water sample detection and improves the detection efficiency.

[0045] S4, comparing the analysis results of the discharged water sample with the analysis results of the abnormal water sample to determine the final target discharge unit.

[0046] That is to say, the analysis results of the discharged water samples of the preliminary target emission units are compared with the sample analysis results of the abnormal water samples, and the final target emission units are determined within the scope of the preliminary target emission units based on the comparison results, which can effectively improve the accuracy of the target emission unit determination results.

[0047] In other words, according to the method for tracing the abnormality of the influent water quality of a sewage treatment plant according to an embodiment of the present invention, the influent water samples of the sewage treatment plant are sampled, tested and analyzed, and after being determined to be abnormal water samples, the scope of the target emission units is preliminarily determined based on the analysis results of the abnormal water samples; then, the discharge water samples of the preliminarily determined target emission units are separately tested and analyzed to obtain the analysis results of the discharge water samples of each target emission unit; finally, the analysis results of the discharge water samples of each preliminarily determined target emission unit are compared with the analysis results of the collected abnormal water samples, so as to determine the final target emission unit.

[0048] The method for tracing the abnormal water quality of the sewage treatment plant inlet according to the embodiment of the present invention can quickly determine the cause of the abnormal water quality, the specific related substances causing the abnormality, and the discharge enterprise causing the abnormal water quality. Compared with the existing tracing analysis method, this method only requires a small amount of monitoring equipment, a smaller number of test samples, and a lower overall tracing cost. The method for tracing the abnormal water quality of the sewage treatment plant inlet according to the embodiment of the present invention is fully applicable to different situations such as tracing the source of long-term polluted water bodies, tracing the source of occasional polluted water bodies, and tracing the source of periodic polluted water bodies.

[0049] In some embodiments, obtaining an influent water sample from a wastewater treatment plant may include:

[0050] Select characteristic risk factors; preferably, characteristic risk factors may include one or more of oxidizing substances, refractory organic matter, and toxic substances. Toxic substances include, but are not limited to, inorganic toxic substances, organic toxic substances, and radioactive toxic substances. Inorganic toxic substances include, but are not limited to, heavy metals, cyanides, and arsenides, and organic toxic substances include, but are not limited to, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and the like.

[0051] The influent water sample of the sewage treatment plant is tested based on the easily measurable index corresponding to the characteristic risk factor. If the data of the easily measurable index is detected to be abnormal, the influent water sample of the sewage treatment plant is obtained, and the type of the obtained influent water sample is determined. Preferably, the easily measurable index may include one or more of pH value, ORP value, conductivity, ultraviolet visible absorption spectrum wavelength or absorbance.

[0052] That is to say, after obtaining the influent water sample to be tested from the sewage treatment plant, the pollution source category of the influent water sample can be determined. Specifically, the characteristic risk factors related to the pollution source category are selected from the controlled emission indicators with industry characteristics of the enterprises under the management of the sewage treatment plant, and the influent water sample is tested based on the easy-to-measure indicators of the characteristic risk factors. If the data of the relevant easy-to-measure indicators are detected to be abnormal, the influent water sample is obtained, and the type of the obtained influent water sample is determined. Among them, the types of influent water samples obtained may include inorganic influent water samples and organic influent water samples. Water samples with abnormal results of the easy-to-measure indicator conductivity are inorganic influent water samples, and water samples with abnormal results of the ultraviolet-visible absorption spectrum wavelength or absorbance are organic influent water samples.

[0053] As an example, based on the analysis of the types of enterprises under the management of the sewage plant, the characteristic risk factor that causes abnormal water inflow to the sewage plant is selected as the heavy metal category among toxic substances, and conductivity is selected as the corresponding easily measurable indicator. If abnormal conductivity indicator data is detected, it can indicate that the heavy metal content in the water may be abnormal, that is, the content of characteristic risk factor substances may be abnormal. The relevant inflow water sample is obtained and it is determined to be an inorganic inflow water sample.

[0054] In some embodiments, analyzing the influent water sample and determining it as an abnormal water sample may include:

[0055] S21, conduct biological toxicity analysis and characteristic risk factor substance concentration analysis on the influent water samples with abnormal easily measurable indicator data, and based on the results of the biological toxicity analysis and characteristic risk factor substance concentration analysis, determine that the water sample is abnormal and determine the substance causing the abnormal water quality.

[0056] Among them, biological toxicity analysis is to evaluate the biological toxicity of pollutants by detecting the physiological response of organisms after contact with pollutants. Just put the water sample to be tested into the instrument, select the appropriate measurement mode and analysis parameters, and you can get accurate biological toxicity test results.

[0057] Preferably, the biological toxicity analysis can be performed by luminescent bacteria fluorescence intensity detection method, fish 96 acute toxicity test method, nitrification inhibition test method, enzyme inhibition test method, respiratory inhibition test method, ATP luminescence analysis method or biosensor method.

[0058] As an example, the principle of the fluorescence intensity detection method of luminescent bacteria is that luminescent bacteria can emit blue-green visible light with a wavelength of 450-490nm under normal physiological conditions. Under certain experimental conditions, the luminescence intensity is constant. After contacting with the external test substance, the luminescence intensity of the luminescent bacteria changes due to the toxicant's inhibitory effect on luminescence. The degree of change is correlated with the concentration of the test substance within a certain range, and is also related to the toxicity of the substance. Then, the luminescence intensity of the luminescent bacteria reflects the toxicity or pollution status of the detection system. Specific to the experimental operation, for example, the bright luminescent bacteria T3 method is used, which is a method for monitoring the acute toxicity of water quality of soluble chemical substances under industrial wastewater, polluted water bodies and laboratory conditions. This method is based on the principle that the relative luminescence of luminescent bacteria is significantly negatively correlated with the total concentration of toxic components of water samples. The relative luminescence of water samples is measured by a bioluminescence photometer to indicate its acute level. The acute toxicity level of water quality can be characterized by selecting a comparable reference substance mercuric chloride concentration (in mg / L) or EC50 value (half effective concentration, in percentage concentration of sample solution). In addition, the luminescent bacteria method can also be used to measure EC50, which is a method for evaluating the toxicity of poisons in the environment by measuring changes in the luminescence intensity of luminescent bacteria. This method uses the characteristics that the luminescence intensity of luminescent bacteria is closely related to cell activity. When luminescent bacteria are affected by poisons, cell activity decreases and ATP content levels decrease, resulting in a decrease in luminescence intensity. By measuring the changes in the luminescence intensity of luminescent bacteria, the toxicity of poisons in the environment can be evaluated. The EC50 value, as an important indicator for evaluating the toxicity of poisons, reflects the concentration level at which the poison produces a half-effect on the organism.

[0059] Secondly, characteristic risk factor substance concentration analysis is to detect the concentration of characteristic risk factor substances.

[0060] That is to say, the obtained influent water samples are subjected to biological toxicity analysis and characteristic risk factor substance concentration analysis in advance. After obtaining the results of the biological toxicity analysis and characteristic risk factor substance concentration analysis, abnormal water samples with strong biological toxicity (for example, luminous bacteria inhibition rate ≥ 90%) or characteristic risk factor substance concentration exceeding the emission standard (for example, "GB21900-2008 Electroplating Pollutant Emission Standard" stipulates the emission limit of heavy metal content of electroplating enterprises. If the characteristic risk factor substance is a heavy metal, the detected heavy metal concentration exceeds the corresponding standard limit, which is considered to be excessive) are screened out, and the substances causing the abnormal water quality are determined.

[0061] In addition, by pre-screening abnormal water samples through the results of biological toxicity analysis and characteristic risk factor substance concentration analysis, and subsequently conducting water quality fingerprint detection and analysis on the abnormal water samples, the number of samples for water quality fingerprint analysis can be greatly reduced, further reducing the cost of testing and analysis.

[0062] S22, performing water quality fingerprint detection and analysis on the abnormal water sample, and characterizing the fingerprint characteristics of the abnormal water sample based on the result of the water quality fingerprint detection and analysis.

[0063] Water quality fingerprint detection and analysis uses characteristic substances in water samples as fingerprints, and determines the contribution rate and load of different pollution sources on the water body through mathematical models and statistical methods. The basic principle of water quality fingerprint detection and analysis is that the characteristic substances in the water body can reflect the impact of different pollution sources on the water body. By analyzing the content and distribution of these characteristic substances in the water body, the contribution rate and load of different pollution sources on the water body can be inferred. These characteristic substances can be naturally existing or artificially added, can be single or composite, can be stable or dynamic, as long as certain conditions are met, the water quality fingerprint comparison can achieve direct, rapid and accurate identification of pollution sources. Preferably, water quality fingerprint analysis uses three-dimensional fluorescence spectroscopy, ultraviolet-visible spectroscopy or multi-source spectroscopy.

[0064] As an example, the principle of three-dimensional fluorescence spectroscopy is that water in nature contains dissolved organic matter (DOM) composed of various compounds flowing in rivers, lakes and reservoirs. The sources of these compounds entering the water body are diverse, and the content of DOM in the water and its chemical composition also change with time and space. The interaction between light and DOM is closely related to its chemical composition. Therefore, three-dimensional fluorescence spectroscopy can provide information about the amount and type of DOM in water samples. Since the chemical composition of DOM is determined by its original source material and the processes that occur in the environment it passes through, characterizing DOM using three-dimensional fluorescence spectroscopy helps to find the source of DOM and the water transmission pathway through which it passes. Through three-dimensional fluorescence technology, a unique three-dimensional fluorescence spectrum is formed for each water sample, similar to each person having his or her own unique fingerprint. The three-dimensional fluorescence spectra of different water samples will vary with the type and content of pollutants in the water, and have the characteristics of one-to-one correspondence with the source of pollution.

[0065] In some embodiments, determining a preliminary target emission unit based on the analysis result of the abnormal water sample and analyzing the discharged water sample of the preliminary target emission unit may include:

[0066] Determine the primary target emission units based on the substances causing water quality abnormalities determined by the results of the biological toxicity analysis and the characteristic risk factor substance concentration analysis;

[0067] Conduct water quality fingerprint detection and analysis on the discharged water samples of the preliminary selected target emission units.

[0068] That is to say, according to the results of the biological toxicity analysis and characteristic risk factor substance concentration analysis of abnormal water samples, the specific related substances in the abnormal water samples are determined, and finally the relevant target emission enterprises are preliminarily screened and determined based on the related substances that cause water quality abnormalities. Finally, the water quality fingerprint detection and analysis of the discharged water samples of the screened target emission units are further carried out, thereby reducing the number of target emission units that need to be tested for drainage accordingly.

[0069] In some embodiments, comparing the analysis results of the discharged water sample with the analysis results of the abnormal water sample to determine the final target discharge unit may include:

[0070] Compare the water quality fingerprint detection and analysis results of the discharged water samples with the water quality fingerprint detection and analysis results of the abnormal water samples;

[0071] Based on the similarity of the water quality fingerprint detection and analysis results of the two, the final target emission unit is determined.

[0072] As an example, the water quality fingerprints of corporate wastewater and unpolluted water bodies are significantly different, which can be used to determine whether the water body is polluted. There are also obvious differences in the water quality fingerprints of wastewater generated by enterprises in different industries, and there are also obvious differences in the water quality fingerprints of drainage from different enterprises in the same industry. The enterprises at the source of pollution can be identified by comparing water quality fingerprints. By comparing the water quality fingerprint detection and analysis results of the discharged water samples of each enterprise with the water quality fingerprint detection and analysis results of abnormal water samples from the sewage treatment plant, the final target emission enterprise is determined according to the degree of similarity. For example, if the analysis results have a high degree of similarity, it can be determined that the enterprise is the target emission unit that causes abnormal water quality; if the analysis results have a low degree of similarity, it can be ruled out with a high probability that the enterprise is the target emission unit that causes abnormal water quality.

[0073] The method for tracing the abnormality of influent water quality in a sewage treatment plant of the present invention is described below with reference to specific examples.

[0074] Embodiment 1:

[0075] The influent of a sewage treatment plant was abnormal. According to the analysis of the types of enterprises under the management of the sewage treatment plant, it was preliminarily determined that the most likely characteristic risk factor causing the abnormality of the sewage treatment plant was heavy metal substances with biological toxicity. The easily measurable indicator conductivity was selected for online monitoring. According to the abnormal situation of the easily measurable indicator conductivity, the influent water sample of the sewage treatment plant was obtained, and the type of the influent water sample obtained from the sewage treatment plant was determined to be an inorganic influent water sample. Further biological toxicity analysis and heavy metal content analysis were performed on the influent water samples of the sewage treatment plant. The toxicity value (luminous bacteria inhibition rate) of the influent water sample of the sewage treatment plant was measured to be 41.06%, and the heavy metal nickel content was 1.18 mg / L. The heavy metal nickel content exceeded the emission limit specified in the "GB21900-2008 Electroplating Pollutant Emission Standard". The sample was determined to be an abnormal sample, and water quality fingerprint detection was further carried out on the abnormal sample. According to the analysis results of abnormal samples, the target emission units that caused the abnormal water inflow to the sewage treatment plant were preliminarily selected as enterprises 1-7. Water quality fingerprint detection was carried out on the discharge water samples of the preliminarily selected target emission units, and the water quality fingerprint analysis results of the discharge water samples of the preliminarily selected target emission units and the abnormal water samples were compared. Among them, the enterprises with water quality fingerprint similarity comparison results ≧60% included Enterprise 1 (similarity 97%), Enterprise 3 (similarity 90%), Enterprise 4 (similarity 86%) and Enterprise 6 (similarity 97%). It was determined that the final target emission units that caused the abnormal water inflow to the sewage treatment plant were Enterprise 1, Enterprise 3, Enterprise 4 and Enterprise 6.

[0076] Embodiment 2:

[0077] The influent of a sewage treatment plant was abnormal. According to the analysis of the types of enterprises under the management of the sewage treatment plant, it was preliminarily determined that the most likely characteristic risk factor causing the abnormality of the sewage treatment plant was heavy metal substances with biological toxicity. The easily measurable indicator conductivity was selected for online monitoring. According to the abnormality of the easily measurable indicator conductivity, the influent water sample of the sewage treatment plant was obtained, and the type of the influent water sample of the sewage treatment plant was determined to be an inorganic influent water sample. The influent water sample of the sewage treatment plant was further analyzed for biological toxicity and heavy metal content, and the toxicity value (luminous bacteria inhibition rate) of the influent water sample of the sewage treatment plant was measured to be 99.8%, the heavy metal copper content was 12.01 mg / L, and the heavy metal zinc content was 6.56 mg / L, of which the luminous bacteria inhibition rate was greater than 90%, indicating that the sample was highly toxic, and the heavy metal copper content and zinc content both exceeded the emission limits specified in the "GB21900-2008 Electroplating Pollutant Emission Standard". The sample was determined to be an abnormal sample, and water quality fingerprint detection was further carried out on the abnormal sample. According to the analysis results of abnormal samples, the target emission units that caused the abnormal water inflow to the sewage treatment plant were preliminarily selected as enterprises 1-7. Water quality fingerprint detection was carried out on the discharge water samples of the preliminarily selected target emission units, and the water quality fingerprint analysis results of the discharge water samples of the preliminarily selected target emission units and the abnormal water samples were compared. Among them, the enterprises with water quality fingerprint similarity comparison results ≧60% included enterprise 1 (similarity 98%). It was determined that the final target emission unit that caused the abnormal water inflow to the sewage treatment plant was enterprise 1.

[0078] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for tracing the source of abnormal water quality in a sewage treatment plant, characterized in that: include: Obtain influent water samples from sewage treatment plants; Analyzing the influent water sample and determining it to be an abnormal water sample; Determine a preliminary target emission unit based on the analysis result of the abnormal water sample, and analyze the discharged water sample of the preliminary target emission unit; The analysis results of the discharged water sample and the analysis results of the abnormal water sample are compared to determine the final target discharge unit.

2. The method for tracing the abnormal water quality of sewage treatment plant according to claim 1 is characterized in that: The obtaining of the influent water sample of the sewage treatment plant comprises: Select characteristic risk factors; The influent water sample of the sewage treatment plant is tested based on the easily measurable indicators corresponding to the characteristic risk factors. If abnormal data of the easily measurable indicators are detected, the influent water sample of the sewage treatment plant is obtained, and the type of the obtained influent water sample is determined.

3. The method for tracing the abnormal water quality of sewage treatment plant according to claim 2 is characterized in that: The characteristic risk factors include one or more of oxidizing substances, difficult-to-degrade organic matter, and toxic substances.

4. The method for tracing the abnormal water quality of sewage treatment plant according to claim 2 is characterized in that: The easily measurable indicators include one or more of pH value, ORP value, conductivity, ultraviolet-visible absorption spectrum wavelength or absorbance.

5. The method for tracing the abnormal water quality of sewage treatment plant according to claim 2 is characterized in that: The types of the influent water samples obtained include inorganic influent water samples and organic influent water samples.

6. The method for tracing the abnormal water quality of sewage treatment plant according to claim 2 is characterized in that: The analyzing the influent water sample and determining it as an abnormal water sample comprises: Conducting biological toxicity analysis and characteristic risk factor substance concentration analysis on the influent water sample with abnormal easily measurable indicator data, and determining the water sample as abnormal and the substance causing the abnormal water quality based on the results of the biological toxicity analysis and the characteristic risk factor substance concentration analysis; Perform water quality fingerprint detection and analysis on the abnormal water sample, and characterize the fingerprint characteristics of the abnormal water sample based on the results of the water quality fingerprint detection and analysis.

7. The method for tracing the abnormal water quality of sewage treatment plant according to claim 6 is characterized in that: The biological toxicity analysis uses a luminescent bacteria fluorescence intensity detection method, a fish 96 acute toxicity test method, a nitrification inhibition test method, an enzyme inhibition test method, a respiratory inhibition test method, an ATP luminescence analysis method or a biosensor method.

8. The method for tracing the source of abnormal water quality in the sewage treatment plant according to claim 6 is characterized in that: The water quality fingerprint analysis uses three-dimensional fluorescence spectroscopy, ultraviolet-visible spectroscopy or multi-source spectroscopy.

9. The method for tracing the source of abnormal water quality in the sewage treatment plant according to claim 6, characterized in that: The step of determining a preliminary target emission unit based on the analysis result of the abnormal water sample and analyzing the discharged water sample of the preliminary target emission unit comprises: Determine the primary target emission units based on the substances causing water quality abnormalities determined by the results of the biological toxicity analysis and the characteristic risk factor substance concentration analysis; Conduct water quality fingerprint detection and analysis on the discharged water samples of the preliminary target emission units.

10. The method for tracing the source of abnormal water quality in the sewage treatment plant according to claim 9, characterized in that: The comparing the analysis result of the discharged water sample with the analysis result of the abnormal water sample to determine the final target discharge unit comprises: Comparing the water quality fingerprint detection and analysis result of the discharged water sample with the water quality fingerprint detection and analysis result of the abnormal water sample; Based on the similarity of the water quality fingerprint detection and analysis results of the two, the final target emission unit is determined.

Images